Practice What Is Model Evaluation? (29.1) - Model Evaluation Terminology

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6 sample questions

Question 1.
Define True Positive.
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Think about situations where predictions match reality.
Question 2.
What is a False Negative?
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It's the opposite of a True Positive.
3Question 3.
What is a True Positive?
- Correctly predicted 'YES'
- Incorrectly predicted 'NO'
- Correctly predicted 'NO'
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It aligns with the actual positive outcome.
4Question 4.
A False Negative means the model predicts:
- True
- False
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It's the missed opportunities in prediction.
Question 5.
Create a confusion matrix for a model that made the following predictions: 30 True Positives, 10 False Positives, 5 False Negatives, and 55 True Negatives. How would this reflect in terms of model performance?
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Structure the matrix and review the totals.
Question 6.
Discuss how you would evaluate the effectiveness of a spam filter using precision and recall metrics.
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Focus on their definitions and impact on evaluation.

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